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Challenges and Learnings of Machine Learning at Scale

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

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Machine Learning Courses Data Science Courses Big Data Courses Predictive Analytics Courses Data Engineering Courses Scalability Courses Model Training Courses Cost Optimization Courses

Course Description

Overview

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Explore the challenges and learnings of machine learning at scale in this 51-minute conference talk from the Toronto Machine Learning Series (TMLS). Discover how to train millions of models while maintaining low costs and achieving high-performance daily predictions. Join Raheleh Givehchi, Lead Data Scientist, and Hicham Benzamane, Team Lead of Data Engineering Insights at Pelmorex Corp. (The Weather Network), as they share their expertise on implementing large-scale machine learning solutions. Gain valuable insights into optimizing machine learning processes for efficiency and effectiveness in real-world applications.

Syllabus

Challenges and Learnings of Machine Learning at Scale


Taught by

Toronto Machine Learning Series (TMLS)

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